AI Software Development Engineer

beBeeArtificialIntelligence; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A tech company seeks a highly skilled AI software engineer to drive integration of AI capabilities into software delivery in Madrid. The ideal candidate will contribute to innovation through prototyping, automation, and collaboration. A bachelor's or master's degree in computer science is required, along with expertise in AI integration and DevOps/MLOps practices. Fluent English is mandatory.

Formación

• 3-5 years of experience as a software engineer or DevOps/MLOps specialist.
• In-depth understanding of CI/CD pipelines and containerization technologies.
• Hands-on experience integrating Machine Learning and Generative AI solutions.

Responsabilidades

• Own the engineering and integration layer of AI capabilities for secure delivery.
• Collaborate with platform teams for AI-driven innovation.
• Contribute to automation efforts enhancing productivity.

Conocimientos

Software engineering

DevOps/MLOps

AI integration

Process automation

Cloud platforms

APIs

Communication

Educación

Bachelor’s or master’s degree in computer science

Herramientas

Docker

Kubernetes

Descripción del empleo

Overview

Job Description

We are seeking a highly skilled AI software engineer to collaborate with our customer in the banking industry.

This is an opportunity to push boundaries, unleash entrepreneurial spirit, and make a real difference in a dynamic and forward-thinking environment.

The ideal candidate will own the engineering and integration layer of AI capabilities into the software delivery toolchain for secure, scalable, and maintainable AI solution delivery through automation and collaboration with platform teams.

Responsibilities

• Owning the engineering and integration layer of AI capabilities into the software delivery toolchain for secure, scalable, and maintainable AI solution delivery through automation and collaboration with platform teams.
• Closely collaborating with AI product engineers and platform teams to define and scope opportunities for AI‑driven innovation.
• Prototyping and validating Large Language Model (LLM)-based or retrieval-augmented generation (RAG) pipelines to drive business value.
• Contributing to AI‑driven automation efforts across developer productivity platforms, enhancing efficiency and effectiveness.
• Developing and maintaining APIs, pipelines, and service integrations for AI features within existing platforms.
• Ensuring traceability, logging, and compliance of integrated solutions adhering to enterprise standards and security best practices.
• Driving best practices for automation, monitoring, and reproducibility, promoting continuous improvement.

Qualifications

• 3-5 years of experience as a software engineer or DevOps / MLOps specialist with expertise in AI integration and process automation.
• In-depth understanding of CI / CD pipelines, cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and APIs.
• Hands-on experience integrating Machine Learning (ML) and Generative AI solutions into production environments emphasizing scalability, security, and maintainability.
• Strong focus on security with familiarity with enterprise-grade tools and adherence to data protection and compliance standards.
• Skilled at working within agile, cross-functional teams paired with excellent communication and collaboration abilities.
• Holds a bachelor’s or master’s degree in computer science or a related field, or demonstrates equivalent professional experience.
• Fluent in English.